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Chest-Disease-Classification-Final-Version

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An MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated model evaluation, and scalable deployment via Flask API and Docker.

Creat2024-04-07T06:37:23
Update2024-11-22T05:10:48
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